Data, particularly machine data, is a foundational component of every smart factory or OEE initiative. It fuels analytics, triggers actions ahead of problems or shutdowns, and provides insight for continuous improvement. Many companies start the smart factory journey with an automated OEE system because it’s a natural progression with a set of metrics they’re already familiar with. Despite advances in automated data collection and production analytics, a lot of manufacturing executives are still at odds about exactly which machine data is required to calculate OEE. Unfortunately, a lot of projects get sidetracked early on as stakeholders try to utilize every piece of machine-generated data from the multitude available. A more pragmatic approach is to apply machine data based on priorities around business goals. To that end, capturing the machine data required for OEE is a critical early activity for most smart factory initiatives.
- November 10, 2020 / by Kim Burndred
Manufacturers serious about improving OEE need to invest in automated data collection. Though the intention of manual data collection is good, this approach doesn’t provide real-time insight or the level of accuracy and detail that an automated data collection can produce. Perhaps more importantly, automated data collection helps you shift employees’ attention to high-value work like running machines and solving problems that hinder operational performance.
- August 6, 2020 / by Patricia Hatem
Legacy factory equipment (manufacturing machines with no built-in data collection mechanism) presents a significant challenge when it comes to manufacturing data, particularly for companies that want to calculate OEE. That most basic of all manufacturing metrics isn’t the only reason manufacturing companies are eager to make older equipment IoT-compatible. Capturing the right data can transform manufacturing operations: it eases the disconnect between the factory and business processes, eliminates the lag time for management to access, analyze, and act on data, and resolves problems with planning, inventory control, the supply chain, and meeting customer expectations.
- June 29, 2020 / by Kim Burndred